OntoGene is a research project which aims at pushing the boundaries of text mining for the biomedical literature. Our work focuses on the extraction of semantic relations between specific biological entities (such as genes, proteins, drugs, diseases) from the biomedical scientific literature (e.g. PubMed). Our approach is based upon high-recall entity recognition and relation extraction, using shallow and deep methodologies (dependency parsing), combined with advanced machine learning techniques. Additionally, we provide an environment for assisted curation (ODIN), as an example of a real-world application of biomedical text mining. [Information of the supplier]